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ESANN
2000
15 years 8 months ago
Confidence estimation methods for neural networks : a practical comparison
Feed-forward neural networks (Multi-Layered Perceptrons) are used widely in real-world regression or classification tasks. A reliable and practical measure of prediction "conf...
Georgios Papadopoulos, Peter J. Edwards, Alan F. M...
ICES
2010
Springer
128views Hardware» more  ICES 2010»
15 years 4 months ago
Evolution and Analysis of a Robot Controller Based on a Gene Regulatory Network
Abstract. This paper explores the application of an artificial developmental system (ADS) to the field of evolutionary robotics by investigating the capability of a gene regulatory...
Martin Trefzer, Tüze Kuyucu, Julian F. Miller...
BVAI
2005
Springer
16 years 8 days ago
Learning Location Invariance for Object Recognition and Localization
A visual system not only needs to recognize a stimulus, it also needs to find the location of the stimulus. In this paper, we present a neural network model that is able to genera...
Gwendid T. van der Voort van der Kleij, Frank van ...
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ICANN
2009
Springer
16 years 1 months ago
Logics and Networks for Human Reasoning
We propose to model human reasoning tasks using completed logic programs interpreted under the three-valued Lukasiewicz semantics. Given an appropriate immediate consequence operat...
Steffen Hölldobler, Carroline Dewi Puspa Kenc...
IJCNN
2008
IEEE
16 years 1 months ago
A network model of rational versus irrational choices on a probability maximization task
─Humans have a drive to maximize knowledge of the world, yet decision making data also suggest a contrary drive to minimize cognitive effort using simplifying heuristics. The tra...
Daniel S. Levine, Leonid I. Perlovsky